Gene identification is at the center of genomic studies. Although the first phase of the Encyclopedia of DNA Elements (ENCODE) project has been claimed to be complete, the annotation of the functional elements is far from being so. Computational methods in gene identification continue to play important roles in this area and other relevant issues. So far, a lot of work has been performed on this area, and a plethora of computational methods and avenues have been developed. Many review papers have summarized these methods and other related work. However, most of them focus on the methodologies from a particular aspect or perspective. Different from these existing bodies of research, this paper aims to comprehensively summarize the mainstream computational methods in gene identification and tries to provide a short but concise technical reference for future studies. Moreover, this review sheds light on the emerging trends and cutting-edge techniques that are believed to be capable of leading the research on this field in the future.

Indexing

JIPS is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License.

Society

ABOUT THE SOCIETY

Ever since information processing became one of the most important industries in the country, computing professionals have encountered a growing number of challenges.
Along with scholars and colleagues in related fields, they have gathered together at a variety of forums and meetings over the last few decades to share their knowledge and experiences,
and the outcomes of their research. These exchanges led to the founding of the Korea Information Processing Society (KIPS) on January 15, 1993. The KIPS was registered as an incorporated association under the Ministry of Science,
ICT and Future Planning under the government of the Republic of Korea. The main purpose of the KIPS organization is to improve our society by achieving the highest capability possible in the domain of information technology.
As such, it focuses on close collaboration with the nationâs industry, academic, and research communities to foster technological innovation,
to enhance its members' careers, and to promote the advanced information processing industry.